Data Scientist

Description: Lead the design and development of optimization and machine learning models for resource allocation across competing programs. Build algorithms for mixed-integer programming, constraint optimization, and ML-driven forecasting. Own the full modeling lifecycle from problem formulation to production deployment. Requirements: Master's or PhD in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or related field. 6+ years of experience in building optimization and/or ML models for resource allocation or supply chain problems. Proficient in optimization solvers (e.g., Gurobi, CPLEX) and Python, with experience in ML frameworks (e.g., scikit-learn, PyTorch). Excellent communication skills for presenting complex tradeoffs to stakeholders. Benefits: Work alongside recognized experts on cutting-edge AI and cloud technology projects. Join a dynamic, inclusive, and collaborative culture focused on continuous learning and innovation.